Top Hybrid Data & Analytics Jobs

The Data Manager develops and improves enterprise data management, master data, governance, quality, lifecycle, and ownership practices. The role supports customer, product, vendor, pricing, material, and installed-base data across CRM, ERP, PIM, engineering, reporting, and operational systems. Responsibilities include documenting data flows, coordinating integrations, improving data quality, enabling Power BI and AI initiatives, supporting compliance controls, and partnering with business and IT stakeholders on transformation, remediation, and continuous improvement.

Develop quantitative market insights through market sizing, forecasting, competitive intelligence, segmentation, and trend analysis. Build analytical models using internal and external data, manage market research engagements, and translate findings into strategic recommendations. Partner with Marketing, Finance, Strategy, and other stakeholders while creating executive-ready presentations and scalable market insights processes.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Leads market sizing, forecasting, competitive intelligence, segmentation, and quantitative analysis for Stryker Medical. Develops market models, evaluates trends and opportunities, conducts primary and secondary research, manages external research vendors, and translates complex data into executive-ready insights. Partners with Marketing, Finance, Strategy, Business Development, and other stakeholders to support strategic planning, portfolio decisions, and growth initiatives while establishing scalable market-insights processes and tools.

Leads enterprise Data and AI platform governance, operations, adoption, optimization, security, and compliance. Manages analytics strategy and team performance while overseeing data pipelines, predictive models, analytical databases, and workflows. Partners with technical and business stakeholders to translate needs into solutions, improve platform value, establish standards, and support responsible innovation. Responsibilities include recruiting, coaching, mentoring, cost optimization, vendor management, and communicating complex technical findings to diverse audiences.

Leads enterprise data architecture strategy, standards, governance, and technical direction while managing data architecture professionals. Oversees data models, databases, integration platforms, cloud data environments, security, privacy, lineage, metadata, and data quality. Guides scalable, AI-ready platforms supporting reporting, analytics, machine learning, Power BI, and Microsoft Copilot. Partners with business, technology, cybersecurity, and data governance stakeholders while balancing strategic architecture with operational delivery.

Leads Healogics’ data engineering team and enterprise data platform strategy. Owns SQL Server warehouse reliability, ETL, OLAP, SSRS, data architecture, modeling, governance, security, and production support while directing migration to Databricks. Translates business needs into scalable data solutions, establishes engineering standards, manages vendors and implementation partners, and partners with executives, analytics, application, cybersecurity, and infrastructure teams.

Build and maintain data pipelines, transformations, integrations, and workflow orchestration using Snowflake, SQL, Python, Airflow, and related tools. Support data quality, governance, metadata, documentation, troubleshooting, production operations, and API integrations. Collaborate with product, engineering, analytics, and business teams in an Agile environment while developing reliable, reusable data solutions.

Leads the enterprise data platform engineering team and owns its reliability, security, scalability, performance, cost, and operational support. Oversees relational, NoSQL, and analytical platforms; data movement and transformation; infrastructure as code; GitOps; database automation; high availability and disaster recovery; monitoring; compliance; and incident response. Manages engineers, on-call operations, technology selection, vendor evaluations, budgeting, and cross-functional delivery while remaining hands-on in architecture, administration, performance tuning, and complex technical escalations.

Lead global strategic intelligence activities, including market and competitive analysis, industry and geographic assessments, market-share reporting, executive presentations, third-party analyst submissions, and annual market updates. Partner with business units, executives, sales, marketing, finance, and external organizations to develop actionable insights. Manage strategic intelligence projects, improve reporting processes, maintain the market intelligence portal, and support AI and data visualization capabilities.